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Project-oriented Internship in Computer Science

Title
Project-oriented Internship in Computer Science
Semester
E2025
Master programme in
Computer Science
Type of activity

Project

Mandatory or elective

Elective

It is mandatory to sign up for either the Advanced Project in Computer Science or Project-oriented Internship in Computer Science.

Teaching language
English
Study regulation

Read about the Master Programme and find the Study Regulations at ruc.dk

REGISTRATION AND STUDY ADMINISTRATIVE
Registration

Please be aware of the approval requirements for a project-oriented internship. You can read more about the approval process here

Number of participants
ECTS
15
Responsible for the activity
Henrik Bulskov (bulskov@ruc.dk)
Head of study
Henrik Bulskov (bulskov@ruc.dk)
Teachers
Study administration
IMT Registration & Exams (imt-exams@ruc.dk)
Exam code(s)
U60064
ACADEMIC CONTENT
Overall objective

Completing an internship at an academically relevant workplace for the purposes of gaining first-hand knowledge of typical work tasks and more experience with the connection between professional practice and the programme’s academic content.

Detailed description of content

Total workload of 412 hours.

Course material and Reading list
Overall plan and expected work effort
Format
Evaluation and feedback

The internship will be survey evaluated by the IMT department.

Programme

Negotiated with internship and supervisor.

The supervision framework and practice are described by the Study Board for Computer Science and Digital Transformation. In the framework you can find information about what you can expect from your supervisor, norms for supervision hours, and about the progress report. You can read the supervision practice here along with other guidelines from the Study Board, such as guidelines for allocation of funds for projects, thesis contracts, etc.

ASSESSMENT
Overall learning outcomes

After completing this course, students will be able to:

  • demonstrate knowledge and understanding of theories and methods in a selected computer science subject area and how they are used in practice.

  • utilize and assess the theories and methodologies of the subject to address real-world computer science challenges.

  • contemplate the professional skills essential for actively contributing to the resolution of computer science research issues in practical scenario.

  • reflect on their personal learning journey and how the acquired knowledge and understanding, skills and competences can be applied to tackle research problems within their internship project.

Prerequisites
Form of examination
Oral exam based on project-oriented internship

The product can be written individually or in a group.
Assignments written by a group must be individualised.

The character limits of the written product:
For 1 student : maximum48,000 characters, including spaces.
For 2 students: maximum72,000 characters, including spaces.

The character limits include the cover, table of contents, bibliography, figures and other illustrations, but exclude appendices.

Time allowed for the exam including time used for assessment for one student: 30 minutes.
Time allowed for the exam including time used for assessment for two students: 45 minutes.

The assessment is an assessment of the written product and the oral performance.


Permitted support and preparation materials for the oral exam: All.

Assessment: 7-point grading scale
Moderation: Internal co-assessor.
Form of Re-examination
Samme som ordinær eksamen / same form as ordinary exam
Type of examination in special cases
Examination and assessment criteria (implemented)

The exam will be based on an internship report. In the assessment of the examination, emphasis will be placed on the learning outcomes.

Use of Generative Articifial Intelligence (GAI) in exams

For project reports, bachelor's projects and master's theses, generative AI aids (GAI) are permitted in the work with the exam if the use is declared.

You must clearly declare how you have used generative artificial intelligence (GAI). This can be included as part of the methodology section or as a short statement at the end of your report. This means that you must describe how you have used GAI, e.g. for the preparatory work on the project, to ask questions and search for information, to receive feedback and criticism on your text, to carry out proofreading or to improve language and readability. It is important that you actively relate to your choice of tools in this way, as it is part of the entire process of creating the project, and thus part of your scientific method and professional communication.

The use of any specific text that is GAI-generated requires citation, just as when using all other sources from which direct quotations are used.

In the library's guide, you can see more about how to cite AI and how you can account for your use of GAI. The use of generative artificial intelligence (GAI) must always take place within the framework of Roskilde University's ‘Guidelines for using generative artificial intelligence in written exams.’

However, ordinary spell checking and other language suggestions, such as Word or other word processing programs, as well as programs for writing minutes and transcription, are permitted in all written exams and do not need to be declared.

Exam code(s)
Exam code(s) : U60064
Last changed 09/09/2025

lecture list:

Show lessons for Subclass: 1 Find calendar (1) PDF for print (1)

Thursday 18-12-2025 09:00 - 18-12-2025 10:00 in week 51
Project-oriented Internship in Computer Science
Hand-in internship report - Deadline at 10:00

Monday 19-01-2026 08:15 - Friday 30-01-2026 18:00 in week 04 and week 05
Project-oriented Internship in Computer Science
Oral examination

Monday 02-02-2026 08:15 - Friday 27-02-2026 18:00 in week 06 to week 09
Project-oriented Internship in Computer Science
Oral reexamination period